We encourage anyone with an interest in problem solving, project management and a passion for data to get involved in the hack but you may find some of these skills beneficial:

  • Proficiency in data analytics tools (e.g., Python, R, SQL)
  • Experience with project management methodologies (e.g., Agile, Scrum)
  • Strong problem-solving and critical thinking skills
  • Familiarity with data visualisation tools (e.g., Power BI, Tableau)
  • Basic understanding of AI and machine learning concepts

Who Should Attend:

  • Project Managers looking to enhance their data-driven decision-making skills
  • Data Analysts and Scientists interested in applying their skills in real-world projects
  • IT Professionals keen to expand their project management expertise
  • Business Analysts aiming to leverage data for better insights and outcomes
  • Students and Graduates eager to gain hands-on experience in project management and data analytics

Event Highlights:

  • Collaborative hackathon sessions tackling real-world project management challenges
  • Networking opportunities with industry experts and like-minded professionals
  • Workshops and tutorials on the latest tools and technologies
  • Prizes for the best projects and innovative solutions
  • Experience Needed:
  • Previous experience in project management or data analytics is beneficial
  • A passion for learning and collaboration
  • Willingness to work in a team environment to solve complex problems
  • Hosted by Projecting Success and delivered in collaboration with members of the Project Data Analytics Task Force and key sponsors. Dive into key themes including Net Zero Carbon, Health & Safety, Productivity & Human Performance, NLP, Artificial Intelligence, and more.
  • Be inspired, gain valuable experience, and network with industry leaders. Don't miss out on this opportunity to drive transformation in project delivery.
  • Location: Online
  • Date: October 20-21, 2025
  • Key Themes: Net Zero Carbon, Health & Safety, Productivity & Human Performance, NLP, Artificial Intelligence, and more.